@inproceedings{6099ae4baabb43038e659e47b5773066,
title = "Output Tracking based Distributed State Estimation",
abstract = "This paper proposes a novel continuous-time distributed state estimation method for sensor networks under strongly connected directed graphs. The distributed output tracking dynamics are introduced for each node to estimate the entire measurement output of the sensor network, based on which the local state estimator is designed. Theoretical analysis demonstrate that the algorithm proposed in this paper can asymptotically realize distributed state estimation without noise. And a simulation example is also presented to show the validity of the presented method.",
keywords = "Distributed state estimation, distributed output tracking, sensor network, strongly connected graph",
author = "Yuheng Li and Yuezu Lv and Peihu Duan and Jialing Zhou",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 IEEE International Conference on Unmanned Systems, ICUS 2021 ; Conference date: 15-10-2021 Through 17-10-2021",
year = "2021",
doi = "10.1109/ICUS52573.2021.9641147",
language = "English",
series = "Proceedings of 2021 IEEE International Conference on Unmanned Systems, ICUS 2021",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "146--150",
booktitle = "Proceedings of 2021 IEEE International Conference on Unmanned Systems, ICUS 2021",
address = "United States",
}